Article ID: | iaor20131927 |
Volume: | 55 |
Issue: | 3 |
Start Page Number: | 507 |
End Page Number: | 520 |
Publication Date: | Mar 2013 |
Journal: | Journal of Global Optimization |
Authors: | Chen Zhe |
Keywords: | programming: multiple criteria, programming: convex |
In this paper, we present a unified approach for studying convex composite multiobjective optimization problems via asymptotic analysis. We characterize the nonemptiness and compactness of the weak Pareto optimal solution sets for a convex composite multiobjective optimization problem. Then, we employ the obtained results to propose a class of proximal‐type methods for solving the convex composite multiobjective optimization problem, and carry out their convergence analysis under some mild conditions.